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DBMS > AgensGraph vs. Amazon CloudSearch vs. Firebase Realtime Database vs. GridDB vs. OrigoDB

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. Firebase Realtime Database vs. GridDB vs. OrigoDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big DataA fully ACID in-memory object graph database
Primary database modelGraph DBMS
Relational DBMS
Search engineDocument storeTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#329  Overall
#33  Graph DBMS
#148  Relational DBMS
Score2.24
Rank#121  Overall
#12  Search engines
Score18.80
Rank#38  Overall
#6  Document stores
Score1.25
Rank#157  Overall
#12  Time Series DBMS
Score0.00
Rank#354  Overall
#46  Document stores
#20  Object oriented DBMS
Websitebitnine.netaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasegriddb.netorigodb.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasedocs.griddb.netorigodb.com/­docs
DeveloperBitnine Global Inc.AmazonGoogle infoacquired by Google 2014Toshiba CorporationRobert Friberg et al
Initial release20162012201220132009 infounder the name LiveDB
Current release2.1, December 20184.6, February 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C#
Server operating systemsLinux
OS X
Windows
hostedhostedLinuxLinux
Windows
Data schemedepending on used data modelyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampUser defined using .NET types and collections
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono infocan be achieved using .NET
Secondary indexesyesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesnonoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsCypher Query Language
JDBC
HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
JavaScript
Python
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesnolimited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyes, based on authentication and database rulesAccess rights for users can be defined per databaseRole based authorization
More information provided by the system vendor
AgensGraphAmazon CloudSearchFirebase Realtime DatabaseGridDBOrigoDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AgensGraphAmazon CloudSearchFirebase Realtime DatabaseGridDBOrigoDB
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